Abstract library

4 results for "Barrett".
#152 Validation of a new assay that uses 2 monoclonal antibodies to measure intact and fragmented plasma CgA levels
Introduction: Plasma chromogranin A (CgA) levels are elevated in a variety of neuroendocrine tumors (NETs) and are used to aid in diagnosis, prognosis, and monitoring of treatment effects in NETs patients. We evaluated a newer sandwich ELISA assay (Cisbio US, Bedford, MA, USA) that utilizes two monoclonal antibodies that bind to the mid-region of the CgA protein and allow measurement of intact and fragmented circulating CgA. The results from the assay validation indicative of its overall robustness in terms of sensitivity, specificity, reproducibility, and stability are presented here.
Conference: 7th Annual ENETS Conference (2010)
Category: Clinical
Presenting Author: Monica Motwani
#1748 External Validation of Prognostic Classification Score for Predicting Overall Survival (OS) of Patients (pts) with Advanced Well Differentiated Neuroendocrine Tumour (WDNET). Neuroendocrine European Prognostic Score (NEP Score Working Group)
Introduction: Absence of relevant prognostic score (PS) in NET
Conference: 14th Annual ENETS conference (2017)
Category: Epidemiology/Natural history/Prognosis - Prognosis
Presenting Author: MD Sara Pusceddu
#1755 Immune-Related Factors Analysis Enhances the Stratification of GEP-NENs Patients Into Distinct Prognostic Subsets
Introduction: Gastroenteropancreatic (GEP) neuroendocrine neoplasms (NEN) are divided into different prognostic categories according to Ki67 class (≤2%: 2%-20%; 20%-55%; >55%); treatment strategies based on this classification are not fully effective.
Conference: 14th Annual ENETS conference (2017)
Category: Pathology, grading, staging
Presenting Author: MD, PhD Massimo Milione
#2037 Stromal Immune Contexture Predicts Disease-Free Survival in Gastro-Entero-Pancreatic Neuroendocrine Neoplasms (GEP-NENs)
Introduction: Stromal Immune Contexture (SIC) helps predict prognosis in solid Tumors (T) but has been poorly investigated in gastro-entero-pancreatic neuroendocrine neoplasms (GEP-NENs). We tested whether GEP-NENs profiling for adaptive immunity-related SIC markers, as well as inflammatory (COX2),EMT [Beta-catenin (B-cat)] and oncogenic pathway signaling (pS6) markers,could improve Ki67 and/or MO-based prediction of OS and DFS.
Conference: 15th Annual ENETS conference (2018)
Category: Basic Science - Signaling pathways, receptors, biomarkers
Presenting Author: MD, PhD Massimo Milione